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38:50ENLinkedIn’s self-improving agent first had to fix its judgesZiwei Guo, Saloni Gandhi · LinkedInA prompt-optimization loop improved a career agent, but unreliable evaluators required human calibration first.
1:46:17ENJon McNeill on Tesla’s speed: delete steps before automatingGuest Jon McNeill · Host Shane ParrishThe former Tesla president explains the sales bottleneck, product feedback and five-step simplification method behind rapid growth.
23:03ENTubi and e.l.f. grew by serving audiences incumbents overlookedGuest Anjali Sud, Kory Marchisotto · Host Bob SafianAnjali Sud and Kory Marchisotto explain free streaming, affordable beauty and direct feedback from fans.
43:05ENAlex Karp says AI could widen inequality—and rejects a wealth taxGuest Alex Karp · Host Walter IsaacsonThe Palantir CEO links data sovereignty, surveillance limits and a proposed tax-and-efficiency trade-off.
12:57ENHarvey’s agents scaled until their platform and merge queue brokeJoey Wang · HarveyAfter an alert spawned 900 agents and one engineer launched 950 tasks, Harvey added deduplication and fair scheduling.
31:18ENNvidia’s board investigates reports involving Jensen HuangGuest Stephen Witt · Host Max ReadJournalist Stephen Witt discusses leadership risk, export controls and unanswered questions around Megaspeed.
38:07ENA smoother reorganization starts by letting teams design itJoakim Sundén · Better Product WorkJoakim Sundén pairs leadership’s strategy with employees’ knowledge of daily work, then lets people select teams.
1:25:20ENSean Allen: Make software correctness part of the designGuest Sean AllenThe Antithesis engineer argues for earlier guarantees, more thoughtful test workloads and planning for production failures.
28:00ENRobinhood’s AI reviewer merges 60% of data PRs without human reviewChetas Joshi · RobinhoodScripts verify live facts, an agent traces code risks, and people retain sensitive decisions.
51:49ENRevolut ranks new products against a decade of previous betsGuest Nik Storonsky · Host John CollisonNik Storonsky explains the bank’s product scorecards, subscription model and US ambitions to Stripe’s John Collison.
38:34ENA founder used Codex to build the Norwegian tutor he wantedGuest William Imoh · Host Claire VoWilliam Imoh describes a voice app built around conversation, then shows how role-based agents support his company.
19:41ENA high-reliability automation starts by routing the hard cases awayMatthew Jewkes · Standard CyberneticsMatthew Jewkes describes separating critical errors, ambiguous decisions and unusual exceptions in a biopharma indexing workflow.
49:56ENBarbara Oakley: use AI to support learning, not replace itBarbara Oakley · Oakland UniversityShe connects memory, practice and curiosity to the challenge of judging AI-generated answers.
41:04ENHow Google tests Gemini 4 and uses agents to maintain codeTulsee Doshi, Smitha, Rody Davis, Luke, Mollie, Billy, Annie · Google DeepMindTulsee Doshi describes staged releases and long-running work; a demo audits web, Android and iOS code with subagents.
52:08ENWhen coding agents overwhelm a self-hosted model, reject earlyHarshul Jain, Parv Khatri · AudibleAdmission control can protect GPU capacity, but benchmark it against every offered request—including the ones rejected.
22:01ENZach Lloyd: make the software factory measurable and editableZach Lloyd · WarpWarp’s CEO proposes recording agent runs, scoring failures and testing changes to the workflow on real tasks.
17:27ENFix a tangled app by specifying its states before promptingDevin Chasanoff · GoogleDevin Chasanoff maps a workout screen’s state, transitions and tests before asking an agent to change it.
27:35ENUber traded an always-green trunk for faster AI-scale mergesPreetam Dwivedi, Manjari Akella · UberIts merge queue now relaxes some conflicts and validates the combined state after landing, with a verified-good fallback.
15:25ENHassan and Omar El Mghari: When an AI financial forecast is right for the wrong reasonsHassan El Mghari, Omar El Mghari · Together AIA Costco membership-fee model passed basic checks and landed close to reported results, but an audit uncovered offsetting assumptions.
27:58ENShould AI agents get your personal data? A debate over trustGuest Meredith Whittaker, Neil Chilson · Host Jeff BermanSignal’s Meredith Whittaker warns that broad agent access can expose others; Neil Chilson argues for limited, verified use.
14:38ENJemima Abu: Give coding agents accessibility rules from the startJemima Abu · CAISA product engineer shows how semantic HTML, reusable components and explicit agent skills can help teams build more usable interfaces.
21:12ENTom Moor: Give coding agents the product context that code cannot showTom Moor · LinearLinear’s workflow carries customer requests, past decisions, review history and human feedback from intake through implementation and review.
15:35ENMislav Ivanda: Choose an execution boundary before an agent frameworkMislav Ivanda · DaytonaThe Daytona engineer compares local approvals, embedded runtimes and sandboxed machines for running agent-generated code.
21:47ENFable 5.2 won four creative tests; Opus resisted pressure betterPeter Yang compared five tasks and found Fable stronger at creative outputs, while Opus more often challenged misleading pushback.
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